Training of an electroencephalography based control system

Abstract

A system including an electroencephalography (EEG) device configured to be positioned on a head of a user and process detected EEG signals. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor to generate, based on a control instruction, a control data signal, for control of an operation of a controllable device configured to provide a premises related service in an area of a premises. In the training phase, execution of the instructions configures the processor to determine whether or not that the control operation of the control data signal is consistent with the detected EEG signals based on a trusted input from the user, and upon determination that the control operation is consistent with the detected EEG signals, store, in the memory, recognition data characterizing the detected EEG signals as a predetermined set of signals in association with the control instruction.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application is a Continuation-in-Part of U.S. patent application Ser. No. 15 / 934,083 filed Mar. 23, 2018 entitled “ELECTROENCEPHALOGRAPHY CONTROL OF CONTROLLABLE DEVICE, which is incorporated herein by reference in its entirety.TECHNICAL FIELD[0002]The subject matter of this application is directed toward control systems, more specifically to training of Electroencephalography (EEG) system for control of lighting andior building management systems (BMS).BACKGROUND[0003]Electroencephalography (EEG) is an electrophysiological monitoring method to record electrical activity of the brain. It is typically noninvasive, with the electrodes placed along the scalp, although invasive electrodes are sometimes used such as in electroencephalography (EEG) measures voltage fluctuations resulting from ionic current within the neurons of the brain. In clinical contexts, EEG refers to the recording of the brain's spontaneous electrical activity over ...

AI Technical Summary

Benefits of technology

The patent text describes a system and method for controlling lighting and building management systems using EEG technology. The system detects signals from the user's brain and uses those signals to generate control data for the system. The system analyzes the detected signals and determines if the control operation is consistent with the detected signals. If the control operation is consistent, the system stores the data associated with the control instruction in memory. This allows for the system to recognize and associate different control instructions with different detected signals, improving the accuracy and efficiency of the control system. The technical effects of this system include improved control accuracy, efficiency, and user experience.

Problems solved by technology

Currently no such systems exist that train EEG system for control of the lighting operations of the lighting systems and building management operations of the building management system.

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